The web data layer for finance.
kadoa.com Source★ 10Data & Analytics / Web Scraping & Extraction
- Monthly visits
- None yet
- No traffic data yet
- Public revenue
- Undisclosed
- No public revenue evidence yet
- Entry price
- Usage-based
- No monthly subscription pricing
- Creators
- Adrian Krebs
- @krebs_adrian· 853 followersCo-created with Johannes Engler, Tavis Lochhead +1 more
- Launched
- 3y ago
- 2023-04-20 · Est.
Traffic
No traffic data yet.
Marketing moves
Launches, search & content, referrals, promotionsLaunched on Show HN (29 pts · 9 comments)Launch
A website that tracks US food prices every day — The US Department of Agriculture (USDA) publishes daily food price data for about 290 commodities on: - what growers were paid at shipping…
Sep 21 · 54d agoLaunch page
Launched on Show HN (63 pts · 25 comments)Launch
A website that tracks every stock trade Congress makes — Congressional trading data is relatively commoditized, but I couldn't find any open-source version with the features I wanted. The data is…
May 26 · 6mo agoLaunch page
Launched on Show HN (1 pts)Launch
Quant Job Market Visualizer — Inspired by karpathy's US job market visualizer[0], I started to dabble with the idea of building live dashboards for certain job markets,…
Apr 14 · 7mo agoLaunch page
Launched on Show HN (313 pts · 153 comments)Launch
HN Wrapped 2025 - an LLM reviews your year on HN — I was looking for some fun project to play around with the latest Gemini models and ended up building this :) Enter your username and get:…
Dec 20, 2025 · 11mo agoLaunch page
Launched on Show HN (10 pts · 5 comments)Launch
Let an LLM roast your HN profile
Oct 3, 2025 · 14mo agoLaunch page
Third-party reviews & case dossiers
Acquisition breakdowns, engineer reviews & open-source metrics- Post excerpt:
- We got frustrated with the time and effort required to code and maintain custom web scrapers, so we built a more generic LLM-based solution for data extraction from websites. AI should automate tedious and un-creative work, and web scraping definitely fits this description. We're leveraging LLMs (GPT and fine-tuned Flan-T5) to semantically understand website
- Post excerpt:
- There are existing HN job aggregators, but I thought we could take it a step further. Inspired by an insightful comment on a previous thread ( https://news.ycombinator.com/item?id=36163021 ), I built a tool that aggregates job postings and intelligently categorizes them based on user-specific preferences: * Country and remote work preferences * Employer type
- Post excerpt:
- Hi HN! I've noticed several "HN, but for X" posts over the last few weeks. I believe HN already covers almost every interesting topic, it's just a matter of surfacing the relevant content. That's why we built HackSnack to let everbody get their own personalized HN newsletter with relevant topics. We use LLMs to extract, summarize, and classify each HN articl
- Post excerpt:
- Hi HN! I've noticed several "HN, but for X" posts over the last few weeks. I believe HN already covers almost every interesting topic, it's just a matter of surfacing the relevant content. That's why we built HackSnack to let everbody get their own personalized HN newsletter with relevant topics. We use LLMs to extract, summarize, and classify each HN articl
- Post excerpt:
- Many have attempted to create niche 'HN for X' platforms, but why reinvent the wheel?. HN already has all the best content, good ranking algo, good moderation, great discussions, etc. - it's all there! However, I'm spending way too much time on the orange site, mainly because of FOMO in certain topics like AI. I wanted a tailored HN feed focusing on my perso
- Post excerpt:
- I was overwhelmed by the pace of AI news and papers coming out, so I built an automated HN news monitoring service that delivers relvant news straight to my inbox or RSS feed. It uses LLMs to extract, summarize, and classify the front page articles and analyzes the different perspectives in the comments. No more FOMO :)
- Post excerpt:
- HN is one of my main sources of information for various topics, but I sometimes miss really interesting posts if I'm not regularly checking the front page. That's why I built an automated HN news monitoring service that delivers relvant news straight to my inbox or RSS feed. It uses LLMs to extract, summarize, and classify the front page articles and analyze
- Post excerpt:
- I was curious about the most discussed topics on HN over time, so I started analyzing and categorizing all front-page posts with a simple LLM workflow. The result is an interactive chart that displays the trending topics across different time frames. Although the analysis is still relatively basic, I think it provides an interesting perspective on our commun
- Post excerpt:
- Inspired by Spotify and Twitter Wrapped, I built a simple tool that analyzes your HN activity and generates a personalized summary: - Time & topic breakdown of your HN activity - Your most discussed subjects and technologies - Roasts about your HN habits - Predictions for your 2025 Yes, I know it's a bit late for a 2024 wrap-up, I still wanted to put it out
- Post excerpt:
- I was looking for some fun project to play around with the latest Gemini models and ended up building this :) Enter your username and get: - Generated roasts and stats based on your HN activity 2025 - Your personalized HN front page from 2035 (inspired by a recent Show HN [0]) - An xkcd-style comic of your HN persona It uses the latest gemini-3-flash and gem
- Post excerpt:
- Inspired by karpathy's US job market visualizer[0], I started to dabble with the idea of building live dashboards for certain job markets, starting with quant finance. I extract the career pages of pretty much every major quant firm and classify each posting with a lightweight LLM ETL pipeline. The data is updated daily and the full dataset is available as S
- Post excerpt:
- Congressional trading data is relatively commoditized, but I couldn't find any open-source version with the features I wanted. The data is lagged (median 28 days from trade to disclosure, and 19% miss this deadline), but there's still interesting patterns to explore. Repo: https://github.com/kadoa-org/congress-trading-monitor Let me know if you have any sugg
- Post excerpt:
- The US Department of Agriculture (USDA) publishes daily food price data for about 290 commodities on: - what growers were paid at shipping point - what buyers paid at the big city wholesale markets - what prices supermarkets advertised in their weekly ads This data comes out as dozens of separate text reports and PDFs, one per market, with no history and no
Open Source & Agent Ecosystem
- GitHub Stars
- ★ 10
- Forks
- 1
- License
- See repository
- Primary language
- —
- Ecosystem & integrations:
- ExcelGoogle SheetsSlackSnowflakeDatabricksBigQueryS3ClaudeChatGPT
Traffic sources
Traffic breakdown
No traffic channel or country breakdown data for this website yet.
Search
Domain authority —Domain registered 2014-05-01
No search keyword data for this website yet.
Traffic data: Vaneform
Pricing
Trial: None · Enterprise custom tier · Observed 2026-11-09 · Pricing page
Pages & changes
Key pages
Weekly snapshots- Homewww.kadoa.com/
- Pricingwww.kadoa.com/pricing Snapshot 2026-11-09
- Featureswww.kadoa.com/use-cases Snapshot 2026-11-09
Changes
Questions & evidence
- How much does Kadoa cost?
- Starter: Unknown; Enterprise: Contact sales. Observed 2026-11-09. Check the source for current billing terms, usage limits and taxes.Source
- What is Kadoa and what platforms does it support?
- Kadoa is catalogued under Web Scraping & Extraction: The web data layer for finance.. Supported platforms: MCP Server, API.
- Is Kadoa open source?
- Kadoa has a public repository (https://github.com/kadoa-org/congress-trading-monitor) with its source repository published, recording 10 GitHub stars.Source
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